return defaultSettings;
    }

    private List<Tuple<String, Object>> defaultArraySettings() {
        final List<Tuple<String, Object>> tuples = new ArrayList<>();
        tuples.add(new Tuple<>(DefaultKeys.SUPPORTED_FIELDS, "content"));
        return tuples;
    }

    /**
     * Loads the index settings from a resource file.

Did you notice? a string using `value.startswith()` can take a tuple, and it will check each value in the tuple:

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### A Random Item { #a-random-item }

With `data.items()` we get an <abbr title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</abbr> with tuples containing the key and value for each dictionary item.

    # Serialization rules for simple scenarios
    style: Optional[str] = None
    explode: Optional[bool] = None
    allowReserved: Optional[bool] = None
    schema_: Optional[Union[Schema, Reference]] = Field(default=None, alias="schema")
    example: Optional[Any] = None
    examples: Optional[dict[str, Union[Example, Reference]]] = None
    # Serialization rules for more complex scenarios

     */
    protected final List<ThumbnailGenerator> generatorList = new ArrayList<>();

    /**
     * Queue for thumbnail generation tasks containing URL, content, and path tuples.
     */
    protected BlockingQueue<Tuple3<String, String, String>> thumbnailTaskQueue;

    /**
     * Flag indicating whether thumbnail generation is currently in progress.
     */
    protected volatile boolean generating;

     * @param value4
     *            The fourth value
     * @return A tuple of four values
     */
    public static <T1, T2, T3, T4> Tuple4<T1, T2, T3, T4> tuple4(final T1 value1, final T2 value2, final T3 value3, final T4 value4) {
        return new Tuple4<>(value1, value2, value3, value4);
    }

    /**
     * Constructs an instance.
     */
    public Tuple4() {
    }

    /**
     * Constructs an instance.
     *

     *            The fifth value
     * @return A tuple of five values
     */
    public static <T1, T2, T3, T4, T5> Tuple5<T1, T2, T3, T4, T5> tuple5(final T1 value1, final T2 value2, final T3 value3, final T4 value4,
            final T5 value5) {
        return new Tuple5<>(value1, value2, value3, value4, value5);
    }

    /**
     * Constructs an instance.
     */
    public Tuple5() {
    }

    /**

     * @param value3
     *            The third value
     * @return A tuple of three values
     */
    public static <T1, T2, T3> Tuple3<T1, T2, T3> tuple3(final T1 value1, final T2 value2, final T3 value3) {
        return new Tuple3<>(value1, value2, value3);
    }

    /**
     * Constructs an instance.
     */
    public Tuple3() {
    }

    /**
     * Constructs an instance.
     *

#### Generic tipler

Köşeli parantez içinde tip parametreleri alan bu türler, örneğin:

* `List`
* `Tuple`
* `Set`
* `Dict`
* `Optional`
* ...and others.

**Generic types** yada  **Generics** olarak adlandırılır.

### Tip olarak Sınıflar

Bir değişkenin tipini bir sınıf ile bildirebilirsiniz.

<img src="/img/python-types/image05.png">

Ohne Typen ist das fast unmöglich zu erreichen.

Beachten Sie, dass die Variable `item` eines der Elemente in der Liste `items` ist.

Und trotzdem weiß der Editor, dass es sich um ein `str` handelt, und bietet entsprechende Unterstützung.

#### Tupel und Menge { #tuple-and-set }

import types
from enum import Enum
from typing import Any, Callable, Optional, TypeVar, Union

from pydantic import BaseModel

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = dict[Union[type[BaseModel], type[Enum]], str]
IncEx = Union[set[int], set[str], dict[int, Any], dict[str, Any]]